CN109948398A - The image processing method and panorama parking apparatus that panorama is parked - Google Patents

The image processing method and panorama parking apparatus that panorama is parked Download PDF

Info

Publication number
CN109948398A
CN109948398A CN201711387606.5A CN201711387606A CN109948398A CN 109948398 A CN109948398 A CN 109948398A CN 201711387606 A CN201711387606 A CN 201711387606A CN 109948398 A CN109948398 A CN 109948398A
Authority
CN
China
Prior art keywords
birds
eye
overlapping region
panorama
camera
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201711387606.5A
Other languages
Chinese (zh)
Other versions
CN109948398B (en
Inventor
胡煦辉
刘俊秀
邹咪
石岭
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Shenyang Electronic Ltd By Share Ltd
Original Assignee
Shenzhen Shenyang Electronic Ltd By Share Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Shenyang Electronic Ltd By Share Ltd filed Critical Shenzhen Shenyang Electronic Ltd By Share Ltd
Priority to CN201711387606.5A priority Critical patent/CN109948398B/en
Publication of CN109948398A publication Critical patent/CN109948398A/en
Application granted granted Critical
Publication of CN109948398B publication Critical patent/CN109948398B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Abstract

The invention discloses a kind of image processing methods that panorama is parked comprising: the multiple images in all angulars field of view of vehicle periphery are obtained using multiple cameras, two neighboring camera acquired image has certain overlapping region in multiple cameras;Multiple images are handled to obtain multiple birds-eye views respectively;The characteristic point of the overlapping region of multiple birds-eye views is extracted respectively and characteristic matching is carried out to characteristic point, and multiple birds-eye views are projected into the same view visual angle;The optimal stitching line of the overlapping region in multiple birds-eye views is established, and is spliced multiple birds-eye views according to optimal stitching line to obtain the first panorama sketch;With graph cut is carried out to the first panorama sketch to eliminate splicing trace to generate the second panorama sketch.In addition, the invention also discloses a kind of panorama parking apparatus.The image processing method and panorama parking apparatus that panorama of the invention is parked avoid ghost phenomenon and eliminate splicing trace when generating panorama birds-eye view, guarantee panorama birds-eye view brightness uniformity.

Description

The image processing method and panorama parking apparatus that panorama is parked
Technical field
The present invention relates to technical field of automotive electronics, in particular to a kind of image processing method that panorama is parked and panorama pool Vehicle device.
Background technique
In the related art, by being mounted on vehicle body, all around four road fish-eye cameras acquire panoramic parking system in real time Multiple images are synthesized a complete birds-eye view panoramic picture by image procossing by the image around vehicle body.Pass through panorama sketch Picture, driver can understand the position of vehicle's surroundings barrier and pedestrian and its at a distance from vehicles, avoid vision dead zone and Dead angle, panoramic parking system can effectively avoid vehicle wiping from touching accident, improve the safe maneuverability of vehicle.
However, some panoramic parking systems only simply by the image mosaic of all directions together, this causes image to exist There is apparent splicing gap within the scope of overlapping region;In addition, some panoramic parking systems directly merge overlapping region, but It fogs since object parts overlapping will lead to final panoramic picture, that is, there is ghost phenomenon, so as to cause poor user experience.
Summary of the invention
Embodiments of the present invention provide a kind of image processing method that panorama is parked and panorama parking apparatus.
The image processing method that the panorama of embodiment of the present invention is parked, comprising the following steps:
The multiple images in all angulars field of view of vehicle periphery, phase in the multiple camera are obtained using multiple cameras Adjacent two camera acquired images have certain overlapping region;
Described multiple images are handled to obtain multiple birds-eye views respectively;
The characteristic point of the overlapping region of the multiple birds-eye view is extracted respectively and characteristic matching is carried out to the characteristic point, and The multiple birds-eye view is projected into the same view visual angle;
The optimal stitching line of the overlapping region in the multiple birds-eye view is established, and will according to the optimal stitching line The multiple birds-eye view is spliced to obtain the first panorama sketch;With
Graph cut is carried out to first panorama sketch to eliminate splicing trace to generate the second panorama sketch.
The image processing method that the panorama of embodiment of the present invention is parked, by establishing optimal stitching line for multiple birds-eye views Spliced, avoid directly merge and generate ghost phenomenon, and using graph cut to optimal stitching line merged with Eliminate the splicing trace of overlapping region.In this way, guaranteeing panorama birds-eye view brightness uniformity, to improve user experience.
In some embodiments, the camera is fish-eye camera, and the processing described multiple images to obtain respectively Obtaining multiple birds-eye views includes:
The multiple fish-eye camera is demarcated, the correction parameter of each fish-eye camera is obtained and utilizes institute Correction parameter processing described multiple images are stated to obtain multiple correction charts respectively;
According to homography matrix, the multiple correction chart is handled using bilinear interpolation described to obtain respectively Multiple birds-eye views.
In some embodiments, the optimal stitching line packet for establishing the overlapping region in the multiple birds-eye view It includes:
Using each pixel of the frame of the overlapping region as the starting point of suture;
Multiple sutures are determined from the starting point of the suture, and calculate the overall strength of the pixel of each suture Value;With
Select the smallest suture of total intensity value as the optimal stitching line from the multiple suture.
In some embodiments, the starting point from the suture determines that multiple sutures include: from the starting point The smallest pixel of intensity value is as the suture in adjacent with the starting point and next pixel column positioned at the starting point of lookup The current point of line searches the smallest pixel of intensity value in next pixel column that is adjacent with the current point and being located at the current point The next point as the suture is put until exceeding the overlapping region.
In some embodiments, the intensity value calculation formula of each pixel are as follows:
E (x, y)=Ecolor(x,y)2+Egeometry(x,y);
Wherein, E (x, y) indicates same in the overlapping region of two birds-eye views obtained by the two neighboring camera The intensity value of pixel at one coordinate, Ecolor(x, y) is got a bird's eye view described in indicating two obtained as the two neighboring camera The difference of the color value of pixel in the overlapping region of figure at same coordinate, Egeometry(x, y) indicates described to be taken the photograph by two neighboring The structure difference of pixel in the overlapping region of two birds-eye views obtained as head at same coordinate.
In some embodiments, definition is located at the overlapping region part difference of the optimal stitching line two sides For the first sub- overlapping region and the second sub- overlapping region, described image and second son where the first sub- overlapping region Described image where overlapping region belongs to two birds-eye views that two neighboring camera obtains, described according to the best suture The multiple birds-eye view is spliced to obtain the first panorama sketch to include: to fill institute respectively in the two sides of the optimal stitching line by line The first sub- overlapping region and the second sub- overlapping region are stated to splice to obtain first panorama sketch.
The panorama parking apparatus of embodiment of the present invention, comprising:
Multiple cameras, the multiple camera are used to obtain the multiple images in all angulars field of view of vehicle periphery, institute Stating two neighboring camera acquired image in multiple cameras has certain overlapping region;
Image processing unit, described image processing unit is for handling described multiple images to obtain multiple get a bird's eye view respectively Figure;
Image mosaic unit, described image concatenation unit are used to extract the spy of the overlapping region of the multiple birds-eye view respectively Sign point simultaneously carries out characteristic matching to the characteristic point, and the multiple birds-eye view is projected to the same view visual angle, and establish The optimal stitching line of the overlapping region in the multiple birds-eye view, and got a bird's eye view according to the optimal stitching line by the multiple Figure is spliced to obtain the first panorama sketch;With
Seam integrated unit, the seam integrated unit are used to carry out graph cut to first panorama sketch to spell to eliminate Lapping defect mark is to generate the second panorama sketch.
The panorama parking apparatus of embodiment of the present invention is spliced multiple birds-eye views by establishing optimal stitching line, The ghost phenomenon for directly merging and generating is avoided, and optimal stitching line is merged to eliminate overlay region using graph cut The splicing trace in domain.In this way, guaranteeing panorama birds-eye view brightness uniformity, to improve user experience.
In some embodiments, the camera is fish-eye camera, and described image processing unit includes:
Distortion correction unit, the distortion correction unit obtain every for demarcating to the multiple fish-eye camera The correction parameter of a fish-eye camera simultaneously handles described multiple images using the correction parameter to obtain multiple schools respectively Positive figure;With
Birds-eye view processing unit, the birds-eye view processing unit are used to utilize bilinear interpolation according to homography matrix The multiple correction chart is handled to obtain the multiple birds-eye view respectively.
In some embodiments, described image concatenation unit is used for:
Using each pixel of the frame of the overlapping region as the starting point of suture;
Multiple sutures are determined from the starting point of the suture, and calculate the overall strength of the pixel of each suture Value;With
Select the smallest suture of total intensity value as the optimal stitching line from the multiple suture.
In some embodiments, the intensity value calculation formula of each pixel are as follows:
E (x, y)=Ecolor(x,y)2+Egeometry(x,y);
Wherein, E (x, y) indicates same in the overlapping region of two birds-eye views obtained by the two neighboring camera The intensity value of pixel at one coordinate, Ecolor(x, y) is got a bird's eye view described in indicating two obtained as the two neighboring camera The difference of the color value of pixel in the overlapping region of figure at same coordinate, Egeometry(x, y) indicates described to be taken the photograph by two neighboring The structure difference of pixel in the overlapping region of two birds-eye views obtained as head at same coordinate.
Additional aspect and advantage of the invention will be set forth in part in the description, and will partially become from the following description Obviously, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect and advantage of the invention is from combining in description of the following accompanying drawings to embodiment by change It obtains obviously and is readily appreciated that, in which:
Fig. 1 is the flow diagram for the image processing method that the panorama of embodiment of the present invention is parked;
Fig. 2 is another flow diagram for the image processing method that the panorama of embodiment of the present invention is parked;
Fig. 3 is the module diagram of the panorama parking apparatus of embodiment of the present invention;
Fig. 4 is another module diagram of the panorama parking apparatus of embodiment of the present invention;
Fig. 5 is the schematic diagram of the scaling board of embodiment of the present invention;
Fig. 6 is the placement schematic diagram of the scaling board of embodiment of the present invention;
Fig. 7 is the another flow diagram for the image processing method that the panorama of embodiment of the present invention is parked;
Fig. 8 is the partial routine schematic diagram for establishing optimal stitching line of embodiment of the present invention;
Fig. 9 is the birds-eye view splicing schematic diagram of embodiment of the present invention.
Main element symbol description:
Panorama parking apparatus 100, camera 110, image processing unit 120, distortion correction unit 122, birds-eye view processing Unit 124, image mosaic unit 130, seam integrated unit 140, overlapping region 10, first sub- the 12, second son of overlapping region weight Folded region 14, optimal stitching line 20.
Specific embodiment
Embodiments of the present invention are described below in detail, the embodiment of the embodiment is shown in the accompanying drawings, wherein Same or similar label indicates same or similar element or element with the same or similar functions from beginning to end.Lead to below It crosses the embodiment being described with reference to the drawings to be exemplary, for explaining only the invention, and should not be understood as to limit of the invention System.
Please refer to Fig. 1-Fig. 4, the image processing method that the panorama of embodiment of the present invention is parked, comprising:
Step S110: obtaining the multiple images in all angulars field of view of vehicle periphery using multiple cameras 110, multiple to take the photograph As two neighboring 110 acquired image of camera has certain overlapping region in first 110.
In embodiments of the present invention, camera 110 is fish-eye camera.In one embodiment, fish-eye camera Quantity be four, respectively preceding fish-eye camera, rear fish-eye camera, left fish-eye camera and right fish-eye camera.
It is appreciated that fish-eye camera angular field of view is big, it can be with a wide range of scenery of shooting at close range.Four fish-eye cameras The image and two neighboring fish-eye camera acquired image obtained in all angulars field of view of vehicle periphery enough has centainly Overlapping region.Certainly, in another embodiment, other kinds of camera can also be used in camera 110, need only guarantee to take the photograph The image in all angulars field of view of vehicle periphery and 110 acquired image of two neighboring camera can be obtained have as first 110 There is certain overlapping region.The quantity of camera 110 is it is not limited here.The quantity of camera 110 can also be according to actual needs Specific setting.
Specifically, preceding fish-eye camera is mounted on the position of Chinese herbaceous peony, for acquiring the image of vehicle front region (before calling in the following text View);Fish-eye camera is mounted on tailstock position afterwards, for acquiring the image (calling rearview in the following text) of rear view of vehicle region;Left fish Eye imaging head is mounted on left-hand mirror, for acquiring the image (calling left view in the following text) of vehicle left area;Right fish-eye camera peace Mounted in right rear view mirror, for acquiring the image (calling right view in the following text) in vehicle right region.When installing fish-eye camera, in flake The face position of camera can place scaling board, guarantee that fish-eye camera can clearly take all angle points of scaling board;? Two adjacent fish-eye cameras are formed by the overlapping region in image and place scaling board, guarantee adjacent two flakes camera shooting Head can clearly take all angle points of scaling board.Referring to Fig. 5, scaling board can be chessboard calibration plate.Each grid Four vertex are the angle point of scaling board.
Referring to Fig. 6, being put in the face position of each fish-eye camera and the shooting overlapping region of adjacent fish-eye camera Scaling board is set, scaling board has eight altogether.Fish-eye camera acquisition includes the multiple images of scaling board.Multiple images include forward sight Figure, rearview, left view and right view.
Step S120: processing multiple images to obtain multiple birds-eye views respectively.
When camera 110 is fish-eye camera, step S120: processing multiple images to obtain multiple birds-eye view packets respectively It includes:
Step S122: demarcating multiple fish-eye cameras, obtains the correction parameter of each fish-eye camera and utilization Correction parameter handles multiple images to obtain multiple correction charts respectively;
Step S124: according to homography matrix, multiple correction charts are handled to obtain respectively using bilinear interpolation Obtain multiple birds-eye views.
It is appreciated that image (calling fish eye images in the following text) captured by fish-eye camera can generate distortion, therefore, it is necessary to figure As carrying out distortion correction.Multiple fish-eye cameras are mounted on the different location of vehicle, and each fish-eye camera is relative to horizontally The angle in face is different.Therefore, in order to obtain the panorama sketch on ground, need for multiple images to be transformed to multiple birds-eye views, then carry out Splicing.
Specifically, according to the angular coordinate and distortion model of the scaling board for being located at face position in fish eye images, certain Fish-eye camera parameter is traversed in range, obtains the mark for being located at face position under different fish-eye camera Parameter Conditions in correction chart The coordinate of the angle point of fixed board.The angular coordinate and ideal that the scaling board of face position will be located in the correction chart obtained every time are demarcated The angular coordinate of plate compares, and the correction parameter of fish-eye camera is obtained when angular coordinate difference minimum.In this way, to four Fish-eye camera is successively demarcated, and is obtained the correction parameter of each fish-eye camera and is handled multiple flakes using correction parameter Image is to obtain multiple correction charts.In the present embodiment, distortion model be equidistant projection model, camera parameter include focal length, Optical center position and unit pixel the ratio of width to height etc..Here, being not limited to the above embodiments, other suitable distortion correction sides can be used Formula.
Then, it according to the angular coordinate and correction parameter of the scaling board for being located at face position in fish eye images, is corrected It is located at the angular coordinate of the scaling board of face position in figure.Assuming that being located at the angular coordinate of the scaling board of face position in correction chart For (X1, Y1), the corresponding angular coordinate of ideal scaling board is (X2, Y2) in top view, and relationship between the two meets:
Wherein, (X1, Y1) indicates all angular coordinates for being located at the scaling board of face position in correction chart, (X2, Y2) table Show the corresponding all angular coordinates of ideal scaling board in top view.The angular coordinate of ideal scaling board is ideal calibration in top view Angular coordinate of the plate on level ground.Using in known correction chart be located at face position scaling board angular coordinate and bow The corresponding angular coordinate of ideal scaling board, calculates homography matrix in view.To front view, rearview, left view and right view Figure calculates separately corresponding homography matrix.According to corresponding homography matrix, bird before being generated respectively using bilinear interpolation It looks down from a height figure, rear birds-eye view, left birds-eye view and right birds-eye view.Preceding birds-eye view, rear birds-eye view, left birds-eye view and right birds-eye view constitute multiple Birds-eye view.
Step S130: extracting the characteristic point of the overlapping region of multiple birds-eye views respectively and carries out characteristic matching to characteristic point, And multiple birds-eye views are projected into the same view visual angle.
It is appreciated that in step s 130, preceding birds-eye view and left birds-eye view have an overlapping region, preceding birds-eye view and right bird Figure of looking down from a height has an overlapping region, and rear birds-eye view and left birds-eye view have an overlapping region, and rear birds-eye view and right birds-eye view have one Overlapping region.In the present embodiment, the characteristic point of overlapping region is the angle point for being located at the scaling board of overlapping region.
In one embodiment, multiple birds-eye views can be projected to forward sight angle of field.Before being projected to below with left birds-eye view For view visual angle, step S130 is illustrated.Assuming that (X3, Y3) is the scaling board for being located at overlapping region in preceding birds-eye view Angular coordinate, (X4, Y4) are the corresponding angular coordinates of scaling board for being located at overlapping region in left birds-eye view.Left birds-eye view is carried out Projective transformation meets following formula to angle of field is before got a bird's eye view:
Wherein, it is located at all angular coordinates of the scaling board of overlapping region, (X4, Y4) before (X3, Y3) is indicated in birds-eye view Indicate the corresponding all angular coordinates of scaling board for being located at overlapping region in left birds-eye view.According to preceding birds-eye view and left birds-eye view pair The scaling board angular coordinate answered calculates homography matrix.According to homography matrix, left birds-eye view is thrown using bilinear interpolation Shadow is to before getting a bird's eye view angle of field.As example, image registration is carried out to two birds-eye views that two neighboring fish-eye camera obtains, it will All birds-eye views get a bird's eye view angle of field before projecting to.Particularly, it since rear birds-eye view and preceding birds-eye view do not have overlapping region, needs Rear birds-eye view is first projected into left birds-eye view and angle of field is got a bird's eye view on the right side, reprojection is to before getting a bird's eye view angle of field.
Step S140: the optimal stitching line of the overlapping region in multiple birds-eye views is established, and will be more according to optimal stitching line A birds-eye view is spliced to obtain the first panorama sketch.
It is appreciated that there are four overlapping regions in four birds-eye views in step S140.Therefore, it is necessary to establish four most Four birds-eye views could be spliced into panorama birds-eye view by good suture.
In some embodiments, referring to Fig. 7, establishing the optimal stitching line packet of the overlapping region in multiple birds-eye views It includes:
Step S142: using each pixel of the frame of overlapping region as the starting point of suture;
Step S144: determining multiple sutures from the starting point of suture, and calculate each suture pixel it is total strong Angle value;With
Step S146: select the smallest suture of total intensity value as optimal stitching line from multiple sutures.
In this way, by comparing the total intensity value of multiple sutures, to select optimal stitching line.
In some embodiments, determine that multiple sutures include: to search and starting point phase from starting point from the starting point of suture Current point of the smallest pixel of intensity value as suture in next pixel column that is adjacent and being located at starting point, is searched and current point phase The smallest pixel of intensity value is as the next point of suture until beyond overlapping in next pixel column that is adjacent and being located at current point Region.
In some embodiments, the intensity value calculation formula of each pixel are as follows:
E (x, y)=Ecolor(x,y)2+Egeometry(x,y);
Wherein, E (x, y) indicates same seat in the overlapping region of two birds-eye views obtained by two neighboring camera 110 The intensity value of pixel at mark, Ecolor(x, y) indicates the overlay region of two birds-eye views obtained by two neighboring camera 110 The difference of the color value of pixel in domain at same coordinate, Egeometry(x, y) indicates obtained by two neighboring camera 110 two The structure difference of pixel in the overlapping region of a birds-eye view at same coordinate.
It is appreciated that two birds-eye views (calling two neighboring birds-eye view in the following text) that two adjacent fish-eye cameras obtain are deposited In overlapping region, therefore, the registration accuracy of the pixel on optimal stitching line is highest in overlapping region.The best suture of composition The pixel of line should meet: in color, the difference of color value of the pixel of suture on two neighboring birds-eye view is minimum;? In structure, structure of the pixel on two neighboring birds-eye view on suture is most like.In this way, pressing formula E (x, y)=Ecolor (x,y)2+Egeometry(x, y) establishes optimal stitching line and meets two above condition.Structure difference can carry out ladder by gradient operator Degree, which calculates, to be obtained.Wherein, the gradient operator in the direction x and the direction y is respectively
Specifically, in one example, the establishment process of optimal stitching line is as follows: referring to Fig. 8, assuming overlapping region packet 5*5 pixel is included, circle indicates pixel in figure.Pixel 11 indicates the pixel for being located at the 1st pixel column of the 1st pixel column, And so on.
The frame of overlapping region is the frame that the 1st pixel column, the 1st pixel column, the 5th pixel column and the 5th pixel column are constituted.? In this example, using each pixel in the 1st pixel column of overlapping region and the 1st pixel column as the starting point of suture.
Multiple sutures are determined from the starting point of suture, in fig. 8, left figure expression has determined the starting point of 9 sutures, point It Wei not pixel 11,12,13,14,15,21,31,41 and 51;Right figure indicates that suture determines the extension after starting point.In right figure In, for example, three pixels 21 adjacent with the starting point from next pixel column that starting point 12 issues three line segments direction starting points, 22 and 23, current point of the smallest pixel 23 of intensity value as suture is found, real segment indicates that directional intensity value is minimum Pixel;Three line segments are issued from current point 23 to be directed toward adjacent with the current point 23 three in next pixel column of current point 23 A pixel 32,33 and 34 finds next point of the smallest pixel 33 of intensity value as suture;In this way, continuing down One pixel column searches the smallest pixel of intensity value until the 5th pixel column.In right figure, illustrate only with pixel 12 as starting point Suture and be the suture of starting point with pixel 21.It is every to expand to next pixel column during determining multiple sutures A pixel is opened up, the total intensity value of a suture is calculated.The intensity value of pixel is according to formula E (x, y)=Ecolor(x,y )2+Egeometry(x, y) is calculated.Total intensity value is the summation of the intensity value of all pixels point on suture.
Select the smallest suture of total intensity value as optimal stitching line from 9 sutures.For example, in the right figure of Fig. 8 In, it may compare the total intensity value of suture 21-31-42-53 and the total intensity value of suture 12-23-33-44-54, determine total strong The smallest suture of angle value is as optimal stitching line, and e.g. suture 12-23-33-44-54 is as optimal stitching line.
Multiple birds-eye views are spliced to obtain the first panorama sketch according to optimal stitching line specific as follows: referring to Fig. 9, with Preceding birds-eye view and for getting a bird's eye view the splicing of left birds-eye view of angle of field before projecting to, before solid box indicates in the figure birds-eye view and The overlapping region 10 of the left birds-eye view of angle of field is got a bird's eye view before projecting to.Definition is located at the overlay region of 20 two sides of optimal stitching line 10 part of domain is respectively the first sub- overlapping region 12 and the second sub- overlapping region 14.Image where first sub- overlapping region 12 is Preceding birds-eye view, the image where the second sub- overlapping region 14 is the left birds-eye view that angle of field is got a bird's eye view before projecting to.In overlapping region Sub- 12 fills of overlapping region of the first of the preceding birds-eye view in the right side of optimal stitching line 20, optimal stitching line in overlapping region 10 It fills angle of field is got a bird's eye view in 20 left side the second sub- overlapping region 14 before being projected to left birds-eye view.In this way, in the same way Four birds-eye views at same view visual angle are spliced into the first panorama sketch.
Step S150: graph cut is carried out to the first panorama sketch to eliminate splicing trace to generate the second panorama sketch.
It is appreciated that in step S140, the first panorama sketch obtained according to optimal stitching line direct splicing splices trace Obviously.Further, since fish-eye camera shooting direction and angle are different, two neighboring fish-eye camera illumination there may be Difference.Therefore, graph cut is carried out to the overlapping region in the first panorama sketch, to eliminate splicing trace, uniform illumination, thus raw At the second panorama sketch of brightness uniformity.
The image processing method that the panorama of embodiment of the present invention is parked, by establishing optimal stitching line for multiple birds-eye views Spliced, avoid directly merge and generate ghost phenomenon, and using graph cut to optimal stitching line merged with Eliminate the splicing trace of overlapping region.In this way, guaranteeing panorama birds-eye view brightness uniformity, to improve user experience.
It is appreciated that the image processing method that the panorama of embodiment of the present invention is parked can be used for assisting the driving of vehicle.
Referring to Fig. 3, the panorama parking apparatus 100 of embodiment of the present invention, including multiple cameras 110, image procossing Unit 120, image mosaic unit 130 and seam integrated unit 140.Multiple cameras 110 are for obtaining all views of vehicle periphery Multiple images in angular region, two neighboring 110 acquired image of camera has certain overlapping in multiple cameras 110 Region.Image processing unit 120 is for handling multiple images to obtain multiple birds-eye views respectively.Image mosaic unit 130 is used for The characteristic point of the overlapping region of multiple birds-eye views is extracted respectively and characteristic matching is carried out to characteristic point, and multiple birds-eye views are projected To the same view visual angle and the optimal stitching line for establishing the overlapping region in multiple birds-eye views, and will be more according to optimal stitching line A birds-eye view is spliced to obtain the first panorama sketch.Seam integrated unit 140 be used for the first panorama sketch carry out graph cut with Splicing trace is eliminated to generate the second panorama sketch.
In other words, the image processing method that the panorama of embodiment of the present invention is parked can be by embodiment of the present invention Panorama parking apparatus 100 is realized.Wherein step S110 can realize that step S120 can be by image by multiple cameras 110 It manages unit 120 and realizes that step S130 and step S140 can be realized that step S150 can be by seam by image mosaic unit 130 Integrated unit 140 is realized.
The panorama parking apparatus 100 of embodiment of the present invention is spelled multiple birds-eye views by establishing optimal stitching line It connects, avoids the ghost phenomenon for directly merging and generating, and merged to optimal stitching line to eliminate weight using graph cut The splicing trace in folded region.In this way, guaranteeing panorama birds-eye view brightness uniformity, to improve user experience.
It is appreciated that the explanation and beneficial effect of the embodiment of the above-mentioned image processing method parked to panorama Panorama parking apparatus 100 suitable for embodiment of the present invention is no longer developed in details herein to avoid redundancy.
In some embodiments, referring to Fig. 4, camera 110 is fish-eye camera, image processing unit 120 includes Distortion correction unit 122 and birds-eye view processing unit 124.Distortion correction unit 122 is for marking multiple fish-eye cameras It is fixed, obtain the correction parameter of each fish-eye camera and using correction parameter processing multiple images to obtain multiple corrections respectively Figure.Birds-eye view processing unit 124 is used for according to homography matrix, using bilinear interpolation to multiple correction charts handled with Multiple birds-eye views are obtained respectively.
In other words, step S122 can be realized by distortion correction unit 122, and step S124 can be handled single by birds-eye view Member 124 is realized.
In some embodiments, image mosaic unit 130 is used for:
Using each pixel of the frame of overlapping region as the starting point of suture;
Multiple sutures are determined from the starting point of suture, and calculate the total intensity value of the pixel of each suture;With
Select the smallest suture of total intensity value as optimal stitching line from multiple sutures.
In other words, step S142, step S144 and step S146 are realized by image mosaic unit 130.
In some embodiments, image mosaic unit 130 is used to search adjacent with starting point from starting point and is located at starting point Current point of the smallest pixel of intensity value as suture in next pixel column searches adjacent with current point and is located at current point Next pixel column in the smallest pixel of intensity value as suture next point until exceed overlapping region.
In this way, establishing multiple sutures so that the smallest suture of subsequently selected total intensity value is as optimal stitching line.
In some embodiments, it is respectively the first son that definition, which is located at the overlapping region position of optimal stitching line two sides, Overlapping region and the second sub- overlapping region.The image category where image and the second sub- overlapping region where first sub- overlapping region In two birds-eye views that two neighboring camera 110 obtains.Image mosaic unit 130 is used for: in the two sides of optimal stitching line point Not Tian Chong the first sub- overlapping region and the second sub- overlapping region to splice to obtain the first panorama sketch.
It is appreciated that the two sides of optimal stitching line are used respectively two acquired in two neighboring camera 110 in overlapping region The content of a birds-eye view is filled, to avoid overlapped object, i.e. ghost.
In the description of embodiments of the present invention, term " first ", " second " are used for description purposes only, and cannot understand For indication or suggestion relative importance or implicitly indicate the quantity of indicated technical characteristic.Define as a result, " first ", The feature of " second " can explicitly or implicitly include one or more feature.In embodiments of the present invention In description, the meaning of " plurality " is two or more, unless otherwise specifically defined.
In the description of embodiments of the present invention, it should be noted that unless otherwise clearly defined and limited, term " installation ", " connected ", " connection " shall be understood in a broad sense, for example, it may be fixedly connected, may be a detachable connection or one Connect to body;It can be mechanical connection, be also possible to be electrically connected or can mutually communicate;It can be directly connected, can also lead to It crosses intermediary to be indirectly connected, can be the connection inside two elements or the interaction relationship of two elements.For ability For the those of ordinary skill in domain, can understand as the case may be above-mentioned term in embodiments of the present invention specifically contain Justice.
In the description of this specification, reference term " embodiment ", " some embodiments ", " schematically implementation The description of mode ", " example ", specific examples or " some examples " etc. means the tool described in conjunction with the embodiment or example Body characteristics, structure, material or feature are contained at least one embodiment or example of the invention.In the present specification, Schematic expression of the above terms are not necessarily referring to identical embodiment or example.Moreover, the specific features of description, knot Structure, material or feature can be combined in any suitable manner in any one or more embodiments or example.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes It is one or more for realizing specific logical function or process the step of executable instruction code module, segment or portion Point, and the range of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discussed suitable Sequence, including according to related function by it is basic simultaneously in the way of or in the opposite order, Lai Zhihang function, this should be of the invention Embodiment person of ordinary skill in the field understood.
Expression or logic and/or step described otherwise above herein in flow charts, for example, being considered use In the order list for the executable instruction for realizing logic function, may be embodied in any computer-readable medium, for Instruction execution system, device or equipment (such as computer based system, including the system of processing module or other can be from instruction Execute system, device or equipment instruction fetch and the system that executes instruction) use, or combine these instruction execution systems, device or Equipment and use.For the purpose of this specification, " computer-readable medium " can be it is any may include, store, communicating, propagating or Transfer program uses for instruction execution system, device or equipment or in conjunction with these instruction execution systems, device or equipment Device.The more specific example (non-exhaustive list) of computer-readable medium include the following: there are one or more wirings Electrical connection section (electronic device), portable computer diskette box (magnetic device), random access memory (RAM), read-only memory (ROM), erasable edit read-only storage (EPROM or flash memory), fiber device and portable optic disk is read-only deposits Reservoir (CDROM).In addition, computer-readable medium can even is that the paper that can print described program on it or other are suitable Medium, because can then be edited, be interpreted or when necessary with it for example by carrying out optical scanner to paper or other media His suitable method is handled electronically to obtain described program, is then stored in computer storage.
It should be appreciated that each section of embodiments of the present invention can be with hardware, software, firmware or their combination come real It is existing.In the above-described embodiment, multiple steps or method can be with storages in memory and by suitable instruction execution system The software or firmware of execution is realized.For example, if realized with hardware, in another embodiment, ability can be used Any one of following technology or their combination well known to domain is realized: being had for realizing logic function to data-signal The discrete logic of logic gates, the specific integrated circuit with suitable combinational logic gate circuit, programmable gate array (PGA), field programmable gate array (FPGA) etc..
Those skilled in the art are understood that realize all or part of step that above-described embodiment method carries It suddenly is that relevant hardware can be instructed to complete by program, the program can store in a kind of computer-readable storage medium In matter, which when being executed, includes the steps that one or a combination set of embodiment of the method.
In addition, each functional unit in various embodiments of the present invention can integrate in a processing module, it can also To be that each unit physically exists alone, can also be integrated in two or more units in a module.It is above-mentioned integrated Module both can take the form of hardware realization, can also be realized in the form of software function module.The integrated module If in the form of software function module realize and when sold or used as an independent product, also can store one calculating In machine read/write memory medium.
Storage medium mentioned above can be read-only memory, disk or CD etc..
Although the embodiments of the present invention has been shown and described above, it is to be understood that above-described embodiment is example Property, it is not considered as limiting the invention, those skilled in the art within the scope of the invention can be to above-mentioned Embodiment is changed, modifies, replacement and variant.

Claims (10)

1. a kind of image processing method that panorama is parked characterized by comprising
The multiple images in all angulars field of view of vehicle periphery are obtained using multiple cameras, adjacent two in the multiple camera A camera acquired image has certain overlapping region;
Described multiple images are handled to obtain multiple birds-eye views respectively;
The characteristic point of the overlapping region of the multiple birds-eye view is extracted respectively and characteristic matching is carried out to the characteristic point, and by institute It states multiple birds-eye views and projects to the same view visual angle;
The optimal stitching line of the overlapping region in the multiple birds-eye view is established, and will be described according to the optimal stitching line Multiple birds-eye views are spliced to obtain the first panorama sketch;With
Graph cut is carried out to first panorama sketch to eliminate splicing trace to generate the second panorama sketch.
2. the image processing method that panorama as described in claim 1 is parked, which is characterized in that the camera is flake camera shooting Head, the processing described multiple images include: to obtain multiple birds-eye views respectively
The multiple fish-eye camera is demarcated, the correction parameter of each fish-eye camera is obtained and utilizes the school Positive parameter processing described multiple images to obtain multiple correction charts respectively;
According to homography matrix, the multiple correction chart is handled using bilinear interpolation the multiple to obtain respectively Birds-eye view.
3. the image processing method that panorama as described in claim 1 is parked, which is characterized in that described to establish the multiple get a bird's eye view The optimal stitching line of the overlapping region in figure includes:
Using each pixel of the frame of the overlapping region as the starting point of suture;
Multiple sutures are determined from the starting point of the suture, and calculate the total intensity value of the pixel of each suture; With
Select the smallest suture of total intensity value as the optimal stitching line from the multiple suture.
4. the image processing method that panorama as claimed in claim 3 is parked, which is characterized in that described from the suture Point determines that multiple sutures include: to search adjacent with the starting point from the starting point and be located in next pixel column of the starting point Current point of the smallest pixel of intensity value as the suture searches adjacent with the current point and is located at the current point Next pixel column in the smallest pixel of intensity value as the suture next point until exceed the overlapping region.
5. the image processing method that panorama as claimed in claim 3 is parked, which is characterized in that the intensity of each pixel It is worth calculation formula are as follows:
E (x, y)=Ecolor(x,y)2+Egeometry(x,y);
Wherein, E (x, y) indicates same seat in the overlapping region of two birds-eye views obtained by the two neighboring camera The intensity value of pixel at mark, Ecolor(x, y) indicates two birds-eye views obtained by the two neighboring camera The difference of the color value of pixel in overlapping region at same coordinate, Egeometry(x, y) is indicated by the two neighboring camera The structure difference of pixel in the overlapping region of two birds-eye views obtained at same coordinate.
6. the image processing method that panorama as described in claim 1 is parked, which is characterized in that definition is located at described best The overlapping region part of suture two sides is respectively the first sub- overlapping region and the second sub- overlapping region, the first son weight Described image where folded region and the described image where the described second sub- overlapping region belong to two neighboring camera and obtain Two birds-eye views, it is described to be spliced the multiple birds-eye view according to the optimal stitching line to obtain the first panorama sketch packet It includes: filling the described first sub- overlapping region and the second sub- overlapping region respectively in the two sides of the optimal stitching line to splice Obtain first panorama sketch.
7. a kind of panorama parking apparatus characterized by comprising
Multiple cameras, the multiple camera is used to obtain the multiple images in all angulars field of view of vehicle periphery, described more Two neighboring camera acquired image has certain overlapping region in a camera;
Image processing unit, described image processing unit is for handling described multiple images to obtain multiple birds-eye views respectively;
Image mosaic unit, described image concatenation unit are used to extract the characteristic point of the overlapping region of the multiple birds-eye view respectively And characteristic matching is carried out to the characteristic point, and the multiple birds-eye view is projected into the same view visual angle, and described in foundation The optimal stitching line of the overlapping region in multiple birds-eye views, and according to the optimal stitching line by the multiple birds-eye view into Row splicing obtains the first panorama sketch;With
Seam integrated unit, the seam integrated unit are used to carry out graph cut to first panorama sketch to eliminate splicing trace Mark is to generate the second panorama sketch.
8. panorama parking apparatus as claimed in claim 7, which is characterized in that the camera is fish-eye camera, the figure As processing unit includes:
Distortion correction unit, the distortion correction unit obtain each institute for demarcating to the multiple fish-eye camera State the correction parameter of fish-eye camera and using correction parameter processing described multiple images to obtain multiple correction charts respectively; With
Birds-eye view processing unit, the birds-eye view processing unit are used for according to homography matrix, using bilinear interpolation to institute Multiple correction charts are stated to be handled to obtain the multiple birds-eye view respectively.
9. panorama parking apparatus as claimed in claim 7, which is characterized in that described image concatenation unit is used for:
Using each pixel of the frame of the overlapping region as the starting point of suture;
Multiple sutures are determined from the starting point of the suture, and calculate the total intensity value of the pixel of each suture; With
Select the smallest suture of total intensity value as the optimal stitching line from the multiple suture.
10. panorama parking apparatus as claimed in claim 9, which is characterized in that the intensity value of each pixel calculates public Formula are as follows:
E (x, y)=Ecolor(x,y)2+Egeometry(x,y);
Wherein, E (x, y) indicates same seat in the overlapping region of two birds-eye views obtained by the two neighboring camera The intensity value of pixel at mark, Ecolor(x, y) indicates two birds-eye views obtained by the two neighboring camera The difference of the color value of pixel in overlapping region at same coordinate, Egeometry(x, y) is indicated by the two neighboring camera The structure difference of pixel in the overlapping region of two birds-eye views obtained at same coordinate.
CN201711387606.5A 2017-12-20 2017-12-20 Image processing method for panoramic parking and panoramic parking device Active CN109948398B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711387606.5A CN109948398B (en) 2017-12-20 2017-12-20 Image processing method for panoramic parking and panoramic parking device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711387606.5A CN109948398B (en) 2017-12-20 2017-12-20 Image processing method for panoramic parking and panoramic parking device

Publications (2)

Publication Number Publication Date
CN109948398A true CN109948398A (en) 2019-06-28
CN109948398B CN109948398B (en) 2024-02-13

Family

ID=67004349

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711387606.5A Active CN109948398B (en) 2017-12-20 2017-12-20 Image processing method for panoramic parking and panoramic parking device

Country Status (1)

Country Link
CN (1) CN109948398B (en)

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110390640A (en) * 2019-07-29 2019-10-29 齐鲁工业大学 Graph cut image split-joint method, system, equipment and medium based on template
CN110415550A (en) * 2019-07-31 2019-11-05 北京智行者科技有限公司 The automatic parking method of view-based access control model
CN110443771A (en) * 2019-08-16 2019-11-12 同济大学 It is vehicle-mounted to look around panoramic view brightness and colour consistency method of adjustment in camera system
CN110555797A (en) * 2019-08-01 2019-12-10 天津大学 panoramic aerial view image illumination homogenization processing method based on least square method
CN110620874A (en) * 2019-09-24 2019-12-27 北京智行者科技有限公司 Image processing method for parallel driving
CN111369423A (en) * 2020-02-05 2020-07-03 天津大学 YUV domain panoramic aerial view illumination homogenization processing method based on least square method
CN111915483A (en) * 2020-06-24 2020-11-10 北京迈格威科技有限公司 Image splicing method and device, computer equipment and storage medium
CN113379605A (en) * 2021-07-13 2021-09-10 广州三目电子有限公司 Vehicle-mounted 360-degree panoramic image system and computer storage medium
CN113961078A (en) * 2021-11-04 2022-01-21 中国科学院计算机网络信息中心 Panoramic roaming method, device and equipment and readable storage medium
WO2023231435A1 (en) * 2022-06-01 2023-12-07 北京地平线信息技术有限公司 Visual perception method and apparatus, and storage medium and electronic device
CN117237237A (en) * 2023-11-13 2023-12-15 深圳元戎启行科技有限公司 Luminosity balancing method and device for vehicle-mounted 360-degree panoramic image
CN117455792A (en) * 2023-12-25 2024-01-26 武汉车凌智联科技有限公司 Method for synthesizing and processing 360-degree panoramic image built-in vehicle

Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102881016A (en) * 2012-09-19 2013-01-16 中科院微电子研究所昆山分所 Vehicle 360-degree surrounding reconstruction method based on internet of vehicles
CN103533266A (en) * 2013-10-01 2014-01-22 中国人民解放军国防科学技术大学 360-degree stitched-type panoramic camera with wide view field in vertical direction
CN103863192A (en) * 2014-04-03 2014-06-18 深圳市德赛微电子技术有限公司 Method and system for vehicle-mounted panoramic imaging assistance
CN203759754U (en) * 2014-04-03 2014-08-06 深圳市德赛微电子技术有限公司 Vehicular panoramic imaging system calibrator
CN105245841A (en) * 2015-10-08 2016-01-13 北京工业大学 CUDA (Compute Unified Device Architecture)-based panoramic video monitoring system
CN105447850A (en) * 2015-11-12 2016-03-30 浙江大学 Panorama stitching synthesis method based on multi-view images
CN105513031A (en) * 2014-10-14 2016-04-20 清华大学 Graph matching-based data driving image extrapolation method and device
CN105654502A (en) * 2016-03-30 2016-06-08 广州市盛光微电子有限公司 Panorama camera calibration device and method based on multiple lenses and multiple sensors
CN105894451A (en) * 2016-03-30 2016-08-24 沈阳泰科易科技有限公司 Method and device for splicing panoramic image
CN106204437A (en) * 2016-06-28 2016-12-07 深圳市凌云视迅科技有限责任公司 A kind of image interfusion method
CN106530267A (en) * 2016-11-30 2017-03-22 长沙全度影像科技有限公司 Fusion method for avoiding panoramic picture misalignment
CN106780344A (en) * 2017-01-06 2017-05-31 苏州大学 360 ° of the automobile for being shifted based on deviation and being split looks around image split-joint method
CN106952311A (en) * 2017-03-02 2017-07-14 山东省科学院自动化研究所 Auxiliary parking system and method based on panoramic mosaic data mapping tables
CN206348849U (en) * 2017-01-09 2017-07-21 上海商泰汽车信息系统有限公司 Scaling board
CN107004277A (en) * 2014-12-04 2017-08-01 康诺特电子有限公司 The on-line proving of motor vehicles camera system

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102881016A (en) * 2012-09-19 2013-01-16 中科院微电子研究所昆山分所 Vehicle 360-degree surrounding reconstruction method based on internet of vehicles
CN103533266A (en) * 2013-10-01 2014-01-22 中国人民解放军国防科学技术大学 360-degree stitched-type panoramic camera with wide view field in vertical direction
CN103863192A (en) * 2014-04-03 2014-06-18 深圳市德赛微电子技术有限公司 Method and system for vehicle-mounted panoramic imaging assistance
CN203759754U (en) * 2014-04-03 2014-08-06 深圳市德赛微电子技术有限公司 Vehicular panoramic imaging system calibrator
CN105513031A (en) * 2014-10-14 2016-04-20 清华大学 Graph matching-based data driving image extrapolation method and device
CN107004277A (en) * 2014-12-04 2017-08-01 康诺特电子有限公司 The on-line proving of motor vehicles camera system
CN105245841A (en) * 2015-10-08 2016-01-13 北京工业大学 CUDA (Compute Unified Device Architecture)-based panoramic video monitoring system
CN105447850A (en) * 2015-11-12 2016-03-30 浙江大学 Panorama stitching synthesis method based on multi-view images
CN105654502A (en) * 2016-03-30 2016-06-08 广州市盛光微电子有限公司 Panorama camera calibration device and method based on multiple lenses and multiple sensors
CN105894451A (en) * 2016-03-30 2016-08-24 沈阳泰科易科技有限公司 Method and device for splicing panoramic image
CN106204437A (en) * 2016-06-28 2016-12-07 深圳市凌云视迅科技有限责任公司 A kind of image interfusion method
CN106530267A (en) * 2016-11-30 2017-03-22 长沙全度影像科技有限公司 Fusion method for avoiding panoramic picture misalignment
CN106780344A (en) * 2017-01-06 2017-05-31 苏州大学 360 ° of the automobile for being shifted based on deviation and being split looks around image split-joint method
CN206348849U (en) * 2017-01-09 2017-07-21 上海商泰汽车信息系统有限公司 Scaling board
CN106952311A (en) * 2017-03-02 2017-07-14 山东省科学院自动化研究所 Auxiliary parking system and method based on panoramic mosaic data mapping tables

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
刘凤英;陈天恩;王冬;: "多影像空三平差辅助下的车载全景相机严密标定方法", 测绘通报, no. 07 *

Cited By (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110390640A (en) * 2019-07-29 2019-10-29 齐鲁工业大学 Graph cut image split-joint method, system, equipment and medium based on template
CN110415550A (en) * 2019-07-31 2019-11-05 北京智行者科技有限公司 The automatic parking method of view-based access control model
CN110555797B (en) * 2019-08-01 2023-04-25 天津大学 Panoramic aerial view image illumination homogenization processing method based on least square method
CN110555797A (en) * 2019-08-01 2019-12-10 天津大学 panoramic aerial view image illumination homogenization processing method based on least square method
CN110443771A (en) * 2019-08-16 2019-11-12 同济大学 It is vehicle-mounted to look around panoramic view brightness and colour consistency method of adjustment in camera system
CN110443771B (en) * 2019-08-16 2023-07-21 同济大学 Method for adjusting consistency of brightness and color of annular view in vehicle-mounted annular view camera system
CN110620874A (en) * 2019-09-24 2019-12-27 北京智行者科技有限公司 Image processing method for parallel driving
CN110620874B (en) * 2019-09-24 2021-09-10 北京智行者科技有限公司 Image processing method for parallel driving
CN111369423A (en) * 2020-02-05 2020-07-03 天津大学 YUV domain panoramic aerial view illumination homogenization processing method based on least square method
WO2021258579A1 (en) * 2020-06-24 2021-12-30 北京迈格威科技有限公司 Image splicing method and apparatus, computer device, and storage medium
CN111915483A (en) * 2020-06-24 2020-11-10 北京迈格威科技有限公司 Image splicing method and device, computer equipment and storage medium
CN111915483B (en) * 2020-06-24 2024-03-19 北京迈格威科技有限公司 Image stitching method, device, computer equipment and storage medium
CN113379605A (en) * 2021-07-13 2021-09-10 广州三目电子有限公司 Vehicle-mounted 360-degree panoramic image system and computer storage medium
CN113379605B (en) * 2021-07-13 2021-12-31 广州三目电子有限公司 Vehicle-mounted 360-degree panoramic image system and computer storage medium
CN113961078A (en) * 2021-11-04 2022-01-21 中国科学院计算机网络信息中心 Panoramic roaming method, device and equipment and readable storage medium
WO2023231435A1 (en) * 2022-06-01 2023-12-07 北京地平线信息技术有限公司 Visual perception method and apparatus, and storage medium and electronic device
CN117237237A (en) * 2023-11-13 2023-12-15 深圳元戎启行科技有限公司 Luminosity balancing method and device for vehicle-mounted 360-degree panoramic image
CN117455792A (en) * 2023-12-25 2024-01-26 武汉车凌智联科技有限公司 Method for synthesizing and processing 360-degree panoramic image built-in vehicle
CN117455792B (en) * 2023-12-25 2024-03-22 武汉车凌智联科技有限公司 Method for synthesizing and processing 360-degree panoramic image built-in vehicle

Also Published As

Publication number Publication date
CN109948398B (en) 2024-02-13

Similar Documents

Publication Publication Date Title
CN109948398A (en) The image processing method and panorama parking apparatus that panorama is parked
CN104851076B (en) Panoramic looking-around parking assisting system and camera installation method for commercial car
CN112224132B (en) Vehicle panoramic all-around obstacle early warning method
CN103617606B (en) For assisting the vehicle multi-angle panorama generation method of driving
JP2022095776A (en) Rear-stitched view panorama for rear-view visualization
JP5739584B2 (en) 3D image synthesizing apparatus and method for visualizing vehicle periphery
US8514282B2 (en) Vehicle periphery display device and method for vehicle periphery image
US8928753B2 (en) Method and apparatus for generating a surrounding image
CN108263283A (en) More marshalling varied angle vehicle panoramic viewing system calibration and joining method
JP5077606B2 (en) Method for calibrating a device comprising at least one omnidirectional camera and an optical display unit
Yu et al. 360 surround view system with parking guidance
JP2009105656A (en) On-vehicle imaging apparatus
JP2008077628A (en) Image processor and vehicle surrounding visual field support device and method
KR20190047027A (en) How to provide a rearview mirror view of the vehicle's surroundings in the vehicle
CN104057882A (en) System For Viewing A Curb In A Front Region On The Basis Of Two Cameras
CN112070886B (en) Image monitoring method and related equipment for mining dump truck
JP4830380B2 (en) Vehicle periphery monitoring device and vehicle periphery monitoring method
CN109087251A (en) A kind of vehicle-mounted panoramic image display method and system
US11528453B2 (en) Sensor fusion based perceptually enhanced surround view
JP2009105660A (en) On-vehicle imaging apparatus
CN112215747A (en) Method and device for generating vehicle-mounted panoramic picture without vehicle bottom blind area and storage medium
JP5405809B2 (en) Vehicle periphery monitoring device and camera position / posture determination method
TWM524490U (en) Driving panoramic auxiliary device
JP6293089B2 (en) Rear monitor
CN112308986B (en) Vehicle-mounted image stitching method, system and device

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant